基于混合推荐的旅游行业及酒店销售预测模型设计

Piyush Anil Bodhankar, Rajesh K. Nasare, G. Yenurkar
{"title":"基于混合推荐的旅游行业及酒店销售预测模型设计","authors":"Piyush Anil Bodhankar, Rajesh K. Nasare, G. Yenurkar","doi":"10.1109/ICCMC.2019.8819792","DOIUrl":null,"url":null,"abstract":"As the trend of e-commerce and online shopping is increasing day by day, we need a method which can be helpful to decide whether to buy the product or not. Here the opinions of the other customers and rating for that product can be used as a considerably good parameter for designing such a system. With the development of new technologies we have a possible solution in the form of recommendation system. Recommendation system gives an important help in providing the necessary information to user based on personalized and practical services. The most vital technique in this field is which plays a crucial role is Collaborative filtering. In this paper we present a recommendations system for tourism and hotel based on enhanced Collaborative filtering approach.","PeriodicalId":232624,"journal":{"name":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Designing a Sales Prediction Model in Tourism Industry and Hotel Recommendation Based on Hybrid Recommendation\",\"authors\":\"Piyush Anil Bodhankar, Rajesh K. Nasare, G. Yenurkar\",\"doi\":\"10.1109/ICCMC.2019.8819792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the trend of e-commerce and online shopping is increasing day by day, we need a method which can be helpful to decide whether to buy the product or not. Here the opinions of the other customers and rating for that product can be used as a considerably good parameter for designing such a system. With the development of new technologies we have a possible solution in the form of recommendation system. Recommendation system gives an important help in providing the necessary information to user based on personalized and practical services. The most vital technique in this field is which plays a crucial role is Collaborative filtering. In this paper we present a recommendations system for tourism and hotel based on enhanced Collaborative filtering approach.\",\"PeriodicalId\":232624,\"journal\":{\"name\":\"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC.2019.8819792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2019.8819792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

随着电子商务和网上购物的趋势日益增加,我们需要一种方法,可以帮助我们决定是否购买产品。在这里,其他客户的意见和该产品的评级可以作为设计这样一个系统的一个相当好的参数。随着新技术的发展,我们有一个可能的解决方案,以推荐系统的形式。推荐系统在个性化和实用性服务的基础上为用户提供必要的信息提供了重要的帮助。协同过滤是该领域中最重要的技术之一,在该领域中起着至关重要的作用。本文提出了一种基于增强型协同过滤方法的旅游酒店推荐系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Sales Prediction Model in Tourism Industry and Hotel Recommendation Based on Hybrid Recommendation
As the trend of e-commerce and online shopping is increasing day by day, we need a method which can be helpful to decide whether to buy the product or not. Here the opinions of the other customers and rating for that product can be used as a considerably good parameter for designing such a system. With the development of new technologies we have a possible solution in the form of recommendation system. Recommendation system gives an important help in providing the necessary information to user based on personalized and practical services. The most vital technique in this field is which plays a crucial role is Collaborative filtering. In this paper we present a recommendations system for tourism and hotel based on enhanced Collaborative filtering approach.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信